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MCP广场 >详情页
mcp云托管模式2025-06-1318分享
github
这是Hyperbrowser的模型上下文协议(MCP)服务器。它提供了各种工具用于抓取、提取结构化数据和爬取网页。它还提供了对通用浏览器代理的便捷访问,如OpenAI的CUA、Anthropic的Claude计算机使用和浏览器使用。
By hyperbrowserai
2025-06-1318
github
详情内容

Hyperbrowser MCP服务器

smithery徽章

框架5

这是Hyperbrowser的模型上下文协议(MCP)服务器。它提供了多种工具用于网页抓取、结构化数据提取和网页爬取,同时方便地接入通用浏览器代理,如OpenAI的CUA、Anthropic的Claude计算机使用功能以及浏览器使用功能。

关于Hyperbrowser的更多信息,请访问这里。Hyperbrowser API支持的功能比mcp服务器更全面。

关于模型上下文协议的更多信息,请访问这里

目录

安装

手动安装

要安装服务器,请运行:

npx hyperbrowser-mcp <您的HYPERBROWSER-API-KEY>

在Cursor上运行

将以下内容添加到~/.cursor/mcp.json

{
  "mcpServers": {
    "hyperbrowser": {
      "command": "npx",
      "args": ["-y", "hyperbrowser-mcp"],
      "env": {
        "HYPERBROWSER_API_KEY": "您的API-KEY"
      }
    }
  }
}

在Windsurf上运行

将以下内容添加到您的./codeium/windsurf/model_config.json

{
  "mcpServers": {
    "hyperbrowser": {
      "command": "npx",
      "args": ["-y", "hyperbrowser-mcp"],
      "env": {
        "HYPERBROWSER_API_KEY": "您的API-KEY"
      }
    }
  }
}

开发

出于开发目的,您可以直接从源代码运行服务器。

  1. 克隆仓库:

    git clone git@github.com:hyperbrowserai/mcp.git hyperbrowser-mcp
    cd hyperbrowser-mcp
    
  2. 安装依赖:

    npm install # 或 yarn install
    npm run build
    
  3. 运行服务器:

    node dist/server.js
    

Claude桌面应用

这是为Claude桌面客户端配置Hyperbrowser MCP服务器的示例配置:

{
  "mcpServers": {
    "hyperbrowser": {
      "command": "npx",
      "args": ["--yes", "hyperbrowser-mcp"],
      "env": {
        "HYPERBROWSER_API_KEY": "您的API-KEY"
      }
    }
  }
}

工具

  • scrape_webpage - 从任何网页提取格式化内容(如markdown、截图等)
  • crawl_webpages - 浏览多个链接页面并提取适合LLM的格式化内容
  • extract_structured_data - 将杂乱的HTML转换为结构化JSON
  • search_with_bing - 使用Bing搜索查询网络并获取结果
  • browser_use_agent - 使用Browser Use代理进行快速、轻量级的浏览器自动化
  • openai_computer_use_agent - 使用OpenAI的CUA模型进行通用自动化
  • claude_computer_use_agent - 使用Claude计算机使用功能执行复杂的浏览器任务
  • create_profile - 创建新的持久化Hyperbrowser配置文件
  • delete_profile - 删除现有的持久化Hyperbrowser配置文件
  • list_profiles - 列出现有的持久化Hyperbrowser配置文件

通过Smithery安装

要通过Smithery自动为Claude桌面安装Hyperbrowser MCP服务器:

npx -y @smithery/cli install @hyperbrowserai/mcp --client claude

资源

服务器通过resources方法提供关于Hyperbrowser的文档。任何能够通过资源进行发现的客户端都可以访问这些文档。

许可证

本项目采用MIT许可证。

通过SSE URL连接服务
Server已在腾讯云托管,可在连接后免费调用和在线进行工具测试~
工具测试
已支持Server下的10个工具,可选择工具进行在线测试
browser_use_agent
This tool employs an open-source browser automation agent optimized specifically for fast, efficient, and cost-effective browser tasks using a cloud browser. It requires explicit, detailed instructions to perform highly specific interactions quickly. Optimal for tasks requiring: - Precise, explicitly defined interactions and actions - Speed and efficiency with clear, unambiguous instructions - Cost-effective automation at scale with straightforward workflows Best suited use cases include: - Explicitly defined registration and login processes - Clearly guided navigation through web apps - Structured, step-by-step web scraping with detailed guidance - Extracting data via explicitly specified browser interactions You must provide extremely detailed step-by-step instructions, including exact elements, actions, and explicit context. Clearly define the desired outcome for optimal results. Returns the completed result or an error message if issues arise. Note: This agent trades off flexibility for significantly faster performance and lower costs compared to Claude and OpenAI agents.
claude_computer_use_agent
This tool leverages Anthropic's Claude model to autonomously execute complex browser tasks with sophisticated reasoning capabilities using a cloud browser. It specializes in handling intricate, nuanced, or highly context-sensitive web interactions. Optimal for tasks requiring: - Complex reasoning over multiple web pages - Nuanced interpretation and flexible decision-making - Human-like interaction with detailed context awareness Best suited use cases include: - Multi-step processes requiring reasoning (e.g., detailed registrations or onboarding) - Interacting intelligently with advanced web apps - Conducting in-depth research with complex conditions - Extracting information from dynamic or interactive websites Provide detailed task instructions, relevant context, and clearly specify the desired outcome for best results. Returns the completed result or an error message if issues arise.
crawl_webpages
Crawl a website starting from a URL and explore linked pages. This tool allows systematic collection of content from multiple pages within a domain. Use this for larger data collection tasks, content indexing, or site mapping.
create_profile
Creates a new persistent Hyperbrowser profile.
delete_profile
Deletes an existing persistent Hyperbrowser profile.
extract_structured_data
Extract structured data from a webpage. This tool allows you to extract structured data from a webpage using a schema.
list_profiles
Lists existing persistent Hyperbrowser profiles, with optional pagination.
openai_computer_use_agent
This tool utilizes OpenAI's model to autonomously execute general-purpose browser-based tasks with balanced performance and reliability using a cloud browser. It handles complex interactions effectively with practical reasoning and clear execution. Optimal for tasks requiring: - Reliable, general-purpose browser automation - Clear, structured interactions with moderate complexity - Efficient handling of common web tasks and workflows Best suited use cases include: - Standard multi-step registration or form submissions - Navigating typical web applications requiring multiple interactions - Conducting structured web research tasks - Extracting data through interactive web processes Provide a clear step-by-step description, necessary context, and expected outcomes. Returns the completed result or an error message if issues arise.
scrape_webpage
Scrape a webpage and extract its content in various formats. This tool allows fetching content from a single URL with configurable browser behavior options. Use this for extracting text content, HTML structure, collecting links, or capturing screenshots of webpages.
search_with_bing
Search the web using Bing. This tool allows you to search the web using bing.com
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